How to run msa on r from importing an spss file to interpretation of the data. Objective the 12item partners in health scale pih was developed in australia to measure selfmanagement behaviour and knowledge in patients with chronic diseases, and has undergone several changes. Data were analysed using the commercially available software mokken scaling analysis for polytomous items msp for windows version 5. Simple logistic rasch model, partial credit model, and rating scale model.
Is there a standard procedure for investigating dif in a. Evaluating an internet gaming disorder scale using mokken. Other diagnostics, indicating the reliability of the scale, the probability of obtaining the scale and the extent to which scales show monotone homogeneity and double monotonicity, are available in the msp and these are described in the following. Our view is that previous work on the sf36 using msa was limited. The data n480 were saved as a tabdelimited file with the spreadsheet option turned off to create a file that can be read by the msp version 5. Mokken scale analysis of mental health and wellbeing. Items from the mandarin chinese myocardial infarction dimensional assessment scale form a mokken scale and this offers further insight into how the items of the myocardial infarction dimensional assessment scale relate to the measurement of healthrelated quality of life people with a myocardial infarction. Compares the means of performance of different groups. I am collecting data from a group of about 189 police officers on a 5point likertscale measuring how much the police officers accept rape myths. Spssx procedure and standalone programs for the mokken. The road to mokken scaling was illuminated by ian atkinson and ian deary and the most recent papers have arisen due to the willingness of colleagues too numerous to mention but all acknowledged through coauthorship in the papers referred to above willing to share their data and allow secondary analyses. Methods the 12 items of the pih, scored on a selfrated 9point likert scale, are.
Dimensionality of the hospital anxiety and depression scale. Nevertheless, after following your instructions i find. It employs a multifactor structure and some differential item functioning dif allowing different versions of gds across cultures. These scales satisfy a set of scaling conditions, one of which follows from the model of monotone homogeneity. Using mokken scale analysis to develop unidimensional scales. Table 1 shows the items remaining in the mokken scale ordered in terms of difficulty mean score.
Computes four different coefficients of reliability and the biserial correlations. Data from 802 participants were analysed using mokken scaling analysis. Factor analysis and mokken scaling of the organizational. Mokken scale analysis mokken scale analysis is a hierarchical scaling method and is similar to guttman scaling. Mokken scale analysis mokken scale analysis eeecon. A nonparametric item response theory model, the mokken scale analysis, and program are described. According to the criteria for judging mokken scales, whereby h0. This procedure construct subscales based on loevinger h coefficients computed by loevh q.
Feb 12, 20 for example, on a scale from 0 to 5 how well does trait x describe leader y. Aug, 2019 geriatric depression scale gds is a common screening tool for measuring depression among older adults. This method is named after the political scientist rob mokken who suggested it in 1971. The msp software offers the possibility to specify other. The present study aimed to identify the short version of the hierarchical scale of gds in which all items comprised the invariant item ordering, and items.
Stata module to perform the mokken scale procedure. These scales satisfy a set of scaling conditions, one. Msp implements the mokken scale procedure defined by hemker, sijtsma and molenaar 1995. The attitudes to ageing questionnaire aaq explored the attitudes to ageing of older people themselves, and originally described three distinct subscales. The chinese version of the myocardial infarction dimensional. A program formokken scale analysis for polytomous items. Data were converted from spss to a format suitable for analysis in r using. The hospital anxiety and depression scale hads measures anxiety and depressive symptoms and is widely used in clinical and nonclinical populations. Mokken scale analysis using hierarchical clustering. Mokken scale analysis using hierarchical clustering procedures. Scales and measures statistical associates blue book series. The mokken scale is a psychometric method of data reduction. Reliability of likert scale statements in spss duration.
A mokken scale is a unidimensional scale that consists of hierarchicallyordered items that measure the same underlying, latent concept. After you create a mokken scale, can you get an overall score for the. It consists of an item selection algorithm to partition a set of items into mokken scales and several methods to check the assumptions of two nonparametric item response theory models. When your factor analysis shows that your items are onedimensional and your reliability analysis shows that your items form a reliable scale, you can compute your new scale variable. Oct 11, 2018 one branch of the irt method is mokken scale analysis msa or mokken scaling, which is based on the principles of irt and a scaling method proven to be valuable for assessing the psychometric properties of questionnaire data 4, 12,14. Compute three coefficients of scalability and check monotone of homogeneity. Construct validity of the holistic complementary and. This report aims at researchers who have windows installed on their com puter and who wish to conduct mokken scale analysis using the freeware r package. The stochastic cumulative scaling model offered by this approach is ideally suited when the intention is to score an underlying latent trait by simple addition of the item response values. Heart failure hf is a leading cause of morbidity and mortality worldwide that imposes a considerable human and economic burden 14. I am encountering some trouble with mokken analyses of a set of rating scale data because of the fact that not every rater rated each item. Dec 15, 2014 how to summarise likert scale data using spss this post will give you some advice about using spss to summarise data that were generated with a likert scale.
Allows users to import and export data to and from spss, excel, access, etc. Getting started with mokken scale analysis in r citeseerx. Therefore, we set out to study if violations of local stochastic independence exaggerate scalability in mokken scaling analysis of the subscales of the cm. Fifteen items from the mandarin chinese myocardial infarction dimensional assessment scale were retained in a strong and reliable mokken scale. The scientific basis of efficacy studies of complementary medicine requires the availability of validated measures. The mokken scaling analysis in r investigates whether item response functions intersect and htrans denoted ht is used to investigate the accuracy of the ordering of the resulting item set. Spssx procedure and standalone programs for the mokken scale. Investigating psychometric properties and dimensional. Depression and depressive symptoms are common in patients with hf though estimates of prevalence vary depending on method and timing of assessment 5,6. This pc program works fine with 32bit and 64bit versions of windows xpvista7810.
The mokken scaling analysis procedure for windows version 5. Mokkens models for the analysis of dichotomous and polytomous items. Mokken scaling software is available within the public domain statistical. We validated the cardiac depression scale cds in heart failure patients using a model of ordinal unidimensional measurement known as mokken scaling.
The holistic complementary and alternative medicine questionnaire hcamq is one such measure. How to summarise likert scale data using spss achilleas. Construct validity of the dutch version of the 12item. Have you encountered an incomplete data set in a mokken analysis. Before you can compute your new scale variable by calculating the mean of all the items you should run a factor analysis, and afterwards run a reliability analysis. The hcamq was completed by 221 patients mean age 66. The value of using a reliable and valid instrument to measure depression in this population is therefore essential.
Our aim was to assess the construct validity and reliability of the latest pih version in dutch copd patients. Data import and export import fixed and free format text data import spss data import microsoft excel data sheet export data to spss export data to excel data sheet. Evaluating hierarchical items of the geriatric depression. Apr 26, 2007 analyses were conducted with spss for windows version 12.
Mokken scale analysis msa can be used to assess and build unidimensional scales from an item pool that is sensitive to multiple dimensions. How can i sum a participants score on my newly created mokken scale. Userfriendly commercial package 225 oneuser licence. In addition, the items must have a hierarchical property since the. The items of the oxford happiness inventory ohi, a selfreport assessment of happiness, are subjected to an analysis for hierarchy among its items. Violations of local stochastic independence exaggerate. To evaluate whether the eight items formed a onedimensional homogenous scale we performed mokken scale analysis for polytomous items 34, using the stata 12. As a nonparametric stochastic version of guttman scale analysis, the mokken model provides a useful starting point in scale construction since it does not impose severe restrictions on the functional form of the item trace lines. What are the minimal sample size requirements for mokken scaling.
Mokken 1971 proposed two models for dichotomous items, nowadays recognized as item response theory irt models, one of which was meant for ordinal person measurement and the other both for ordinal person and item measurement. The common filenames for the programs installer are stats. Is mokken scaling procedure the right approach for this and if so, what does the actual output tell me. Mokken scales have been used in psychology, education, political science, public opinion, medicine and nursing. A more elaborate book on learning r for spss and sas users is muenchen 2008. Data were converted from spss into the formats required for each of these programs and the msp was used to identify unidimensional hierarchies of items which were subsequently analysed of iio using the msa in r the statistical programme r. By using mokken scaling analyses we can assess whether items can reliably be ordered between persons as severity indicators on a latent trait. Buy scales and measures statistical associates blue book series 31. Data were converted from spss into the formats required for each of these programs and the msp was used to identify unidimensional hierarchies of items.
Despite it is very clear, im having problems with mokken analysis. The results depend of a threshold c fixed by the user. A more elaborate book on learning r for spss and sas. However it occurs to me that it might be possible to do dif in a mokken scale analysis framework. This article aimed to examine its construct validity, using a modern psychometric approach.
Both guttman and mokken scaling can be used to assess whether a number of items measure the same underlying concept. Dos program with windows shell apparently fails under windows 7. I have a database spss which consists of 412 obs, and 27 items from the efa and cfa they were divided into four subscales. All procedures provide a coefficient of scalability for all items that meet the criteria of the mokken model, and an item coefficient of scalability for every item. This paper describes mokken scale analysis as a method for assessing the unidimensionality of a set of items. Tilburg university getting started with mokken scale analysis. If you want to read up on likert scales before you go on, you can find some information in this post. My aim is shortening the scale by use of mokken scaling if necessary.
I would like to examine whether these traits form a scale or not. It is a step by step guide from scratch to actually performing mokken scale analysis. In essence, a mokken scale is a nonparametric, probabilistic version of guttman scale. Background hierarchical scales are useful in understanding the structure of underlying latent traits in many questionnaires. Apr 26, 2019 the statistical analysis was conducted using ibm spss statistics, version 24 ibm corp, 2016. Both techniques assume the existence of an underlying latent unobservable attribute, which is represented by a set of items related to the latent attribute. I am using mokken scaling and the mokken r package for my dissertation research.
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